docs(batch): fix custom batch processor example

docs/utilities/batch.md

@@ -346,7 +346,7 @@ You can create your own partial batch processor from scratch by inheriting the `
 
 You can then use this class as a context manager, or pass it to `batch_processor` to use as a decorator on your Lambda handler function.
 
-```python hl_lines="9-12 20 35 41 48 59 64 68 76" title="Creating a custom batch processor"
+```python hl_lines="9-11 19 33 39 46 57 62 66 74" title="Creating a custom batch processor"
 --8<-- "examples/batch_processing/src/custom_partial_processor.py"
 ```
 

examples/batch_processing/src/custom_partial_processor.py

@@ -7,8 +7,7 @@
 
 from aws_lambda_powertools import Logger
 from aws_lambda_powertools.utilities.batch import (
-    BasePartialBatchProcessor,
-    EventType,
+    BasePartialProcessor,
     process_partial_response,
 )
 
@@ -17,7 +16,7 @@
 logger = Logger()
 
 
-class MyPartialProcessor(BasePartialBatchProcessor):
+class MyPartialProcessor(BasePartialProcessor):
     """
     Process a record and stores successful results at a Amazon DynamoDB Table
 
@@ -29,8 +28,7 @@ class MyPartialProcessor(BasePartialBatchProcessor):
 
     def __init__(self, table_name: str):
         self.table_name = table_name
-
-        super().__init__(event_type=EventType.SQS)
+        super().__init__()
 
     def _prepare(self):
         # It's called once, *before* processing